World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9946
World Ranking
5871
National Ranking
2659

Research.com Recognitions

  • 2007 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - IEEE Fellow For contributions to statistical methodologies for performance assessment of computing systems.

Overview

David J. Lilja is affiliated with the University of Minnesota in the United States. Their research primarily focuses on computer science and engineering, with particular emphasis on hardware and architecture, electrical and electronic engineering, and artificial intelligence. The work spans various subfields including computer networks and communications as well as information systems.

The main topics addressed in their research include parallel computing and optimization techniques, radiation effects in electronics, advanced data storage technologies, caching and content delivery, cloud computing and resource management, embedded systems design techniques, and low-power high-performance VLSI design.

Among their recent publications are:

  • "Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology," published in 2020 in ACM Transactions on Modeling and Performance Evaluation of Computing Systems
  • "Analysis of a ThunderX2 System Using Top-Down and Purchasing Power Parity Methods," published in 2021 in Practice and Experience in Advanced Research Computing
  • "Revisiting the effects of the Spectre and Meltdown patches using the top-down microarchitectural method and purchasing power parity theory," published in 2021 in BenchCouncil Transactions on Benchmarks Standards and Evaluations

David J. Lilja has frequently collaborated with several researchers, including:

  • Yectli A. Huerta
  • Bingzhe Li
  • Jinfeng Yang
  • Brent Swartz
  • M. Hassan Najafi

Their work has appeared in various publication venues such as ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Practice and Experience in Advanced Research Computing, and BenchCouncil Transactions on Benchmarks Standards and Evaluations.

David J. Lilja has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2007. They were also named an IEEE Fellow in 2006 for contributions to statistical methodologies for performance assessment of computing systems.

Best Publications

  • Measuring computer performance : A practitioner's guide

    David J. Lilja

  • MinneSPEC: A New SPEC Benchmark Workload for Simulation-Based Computer Architecture Research

    A.J. KleinOsowski;D.J. Lilja

  • An Architecture for Fault-Tolerant Computation with Stochastic Logic

    Weikang Qian;Xin Li;M D Riedel;K Bazargan

  • Data prefetch mechanisms

    Steven P. Vanderwiel;David J. Lilja

  • BloomFlash: Bloom Filter on Flash-Based Storage

    Biplob Debnath;Sudipta Sengupta;Jin Li;David J. Lilja

  • Computation on Stochastic Bit Streams Digital Image Processing Case Studies

    Peng Li;David J. Lilja;Weikang Qian;Kia Bazargan

  • The superthreaded processor architecture

    Jenn-Yuan Tsai;Jian Huang;C. Amlo;D.J. Lilja

  • Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors

    Peter Bailey;Joe Myre;Stuart D.C. Walsh;David J. Lilja

  • Using stochastic computing to implement digital image processing algorithms

    Peng Li;David J. Lilja

  • Cache coherence in large-scale shared-memory multiprocessors: issues and comparisons

    David J. Lilja

  • A statistically rigorous approach for improving simulation methodology

    J.J. Yi;D.J. Lilja;D.M. Hawkins

  • Challenges in computer architecture evaluation

    K. Skadron;M. Martonosi;D.I. August;M.D. Hill

  • Exploiting basic block value locality with block reuse

    Jian Huang;D.J. Lilja

  • Simulation of computer architectures: simulators, benchmarks, methodologies, and recommendations

    J.J. Yi;D.J. Lilja

  • Adapting the SPEC 2000 benchmark suite for simulation-based computer architecture research

    AJ KleinOsowski;John Flynn;Nancy Meares;David J. Lilja

  • Characterizing and comparing prevailing simulation techniques

    J.J. Yi;S.V. Kodakara;R. Sendag;D.J. Lilja

  • When caches aren't enough: data prefetching techniques

    S.P. Vander Wiel;D.J. Lilja

  • Wireless sensor network for aircraft health monitoring

    Haowei Bai;M. Atiquzzaman;D. Lilja

  • Exploiting the parallelism available in loops

    D.J. Lilja

  • So many states, so little time: verifying memory coherence in the Cray X1

    D. Abts;S. Scott;D.J. Lilja

Frequent Co-Authors

Sachin S. Sapatnekar
Sachin S. Sapatnekar University of Minnesota
Pen-Chung Yew
Pen-Chung Yew University of Minnesota
Lieven Eeckhout
Lieven Eeckhout Ghent University
Martin O. Saar
Martin O. Saar ETH Zurich
David H. C. Du
David H. C. Du University of Minnesota
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma
Raffaela Mirandola
Raffaela Mirandola Polytechnic University of Milan
Jian-Ping Wang
Jian-Ping Wang University of Minnesota
Shashi Shekhar
Shashi Shekhar University of Minnesota
Lizy K. John
Lizy K. John The University of Texas at Austin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to numerous pathways beyond traditional degrees. Many students now opt for flexible options such as mba programs online, which can boost business and tech leadership skills for future managers and entrepreneurs.

If time is a priority, consider a 1 year masters degree online in tech-related fields. These accelerated programs offer an efficient way to upskill and enter the workforce sooner.

For those looking for fast returns on investment, there are several short degrees that pay well, covering emerging fields like cybersecurity, data analytics, and software development.

Additionally, demand for AI specialists is rising globally. Pursuing ai degrees can lead to cutting-edge roles in research, automation, and tech innovation.

With online learning, you can access high-quality, affordable programs tailored to your career ambitions—wherever you are.

Best Scientists Citing David J. Lilja

Trending Scientists